Guided Analytics Learnathon: Building Applications for Automated Machine Learning, San Diego

Date: April 16th, 2019 Time: 6:00pm - 9:30pm Location: Atkinson Hall - Calit2 Auditorium, UC San Diego [event website] [registration]

DESCRIPTION/ABSTRACT: Welcome to the series of Artificial Intelligence Learnathons! This event will focus on automated machine learning and data visualization. As usual we will work in groups. Each group will build a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. At the conclusion of the event, the application will be deployed on KNIME Server and be run from a web browser. The tool of choice for this learnathon is the open source, intuitive, KNIME Analytics Platform, which also offers great integrations with R, Python, SQL, and Spark. Free trials for KNIME Server licenses will be distributed for the final deployment. After an initial introduction to KNIME Analytics Platform, KNIME Server, and automated ML, we will split into two groups, with each group building one of the following: Group 1: the start web page for visual data exploration and automated ML settings Group 2: the final dashboard to visualize model accuracy and speed performance We will provide a dataset, jump-start workflows, and final solutions for the proposed tasks, and of course data visualization and ML experts. Please bring your own laptop with KNIME Analytics Platform pre-installed. To install KNIME Analytics Platform, follow the instructions provided in these YouTube videos: Windows, Mac, Linux. If you would like to get familiar with KNIME Analytics Platform and KNIME Server, you can explore the content of our E-learning course. Before the event, we will share the link to download the workshop material (jump-start workflows and instructions). Agenda 6:00 PM - Welcome by KNIME 6:10 PM - Introduction to KNIME Analytics Platform and KNIME Server 6:30 PM - Building Applications for Automated Machine Learning 6:50 PM - Let’s build a Guided Analytics Workflow! 9:30 PM - Wrap-up Session and Live Demo of Solution There will be food and drinks provided.